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» Inferring query intent from reformulations and clicks
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EMNLP
2009
13 years 2 months ago
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Emily Pitler, Ken Ward Church
WWW
2011
ACM
12 years 11 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
WEBI
2009
Springer
13 years 11 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
ACSC
2008
IEEE
13 years 11 months ago
An investigation on a community's web search variability
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
Mingfang Wu, Andrew Turpin, Justin Zobel
GIS
2009
ACM
14 years 5 months ago
A Case Study of Using Geographic Cues to Predict Query News Intent
Geographic information retrieval encompasses important tasks including finding the location of a user, and locations relevant to their search queries. Web-based search engines rec...
Ahmed Hassan, Rosie Jones, Fernando Diaz